






'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


_UpperCamelCase						:						str  =					{'configuration_glpn': ['GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP', 'GLPNConfig']}

try:
						if not is_vision_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_UpperCamelCase						:						Optional[Any]  =					['GLPNFeatureExtractor']
						_UpperCamelCase						:						int  =					['GLPNImageProcessor']

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_UpperCamelCase						:						Any  =					[
						    'GLPN_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'GLPNForDepthEstimation',
						    'GLPNLayer',
						    'GLPNModel',
						    'GLPNPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_glpn import GLPN_PRETRAINED_CONFIG_ARCHIVE_MAP, GLPNConfig

						try:
												if not is_vision_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_glpn import GLPNFeatureExtractor
												from .image_processing_glpn import GLPNImageProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_glpn import (
												    GLPN_PRETRAINED_MODEL_ARCHIVE_LIST,
												    GLPNForDepthEstimation,
												    GLPNLayer,
												    GLPNModel,
												    GLPNPreTrainedModel,
												)


else:
						import sys

						_UpperCamelCase						:						Any  =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)










'''simple docstring'''





from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_speech_available, is_torch_available


_UpperCamelCase						:						Tuple  =					{
    'configuration_audio_spectrogram_transformer': [
        'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'ASTConfig',
    ]
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_UpperCamelCase						:						Optional[int]  =					[
						    'AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'ASTForAudioClassification',
						    'ASTModel',
						    'ASTPreTrainedModel',
						]

try:
						if not is_speech_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_UpperCamelCase						:						int  =					['ASTFeatureExtractor']

if TYPE_CHECKING:
						from .configuration_audio_spectrogram_transformer import (
						    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
						    ASTConfig,
						)

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_audio_spectrogram_transformer import (
												    AUDIO_SPECTROGRAM_TRANSFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    ASTForAudioClassification,
												    ASTModel,
												    ASTPreTrainedModel,
												)

						try:
												if not is_speech_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .feature_extraction_audio_spectrogram_transformer import ASTFeatureExtractor


else:
						import sys

						_UpperCamelCase						:						List[str]  =					_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


